About Centipod
We help organisations use modern technology in a way that improves decisions and services, while protecting people and building long-term capability.
Centipod exists to help organisations use modern technology in a way that improves decisions and services, while protecting people and building long-term capability. We do not see AI as a shortcut. We see it as a powerful tool that only becomes valuable when paired with strong engineering, governance, and a human-first approach.
Our work blends advisory and delivery. We help leaders set direction and make confident choices, and we help delivery teams build the foundations that make progress repeatable. That includes cloud and platform modernisation, data and integration, and applied machine learning with the monitoring and controls needed for real operations.
We work especially well in public sector and regulated environments where reliability, privacy, and accountability are part of the job. Our experience includes building Data and AI capability in government, defining integration and IAM guardrails in complex organisations, and leading production ML work in financial services, including transaction classification and anomaly detection with governance and drift monitoring.
Centipod is based in the Netherlands and South Africa and supports clients internationally. We work with heart and empathy because transformation is ultimately a people challenge. Our job is to create clarity, reduce risk, and help teams adopt new ways of working with confidence.
Our approach
We combine hands-on engineering with senior advisory support. That means you get clarity on what to do next, and delivery that holds up in real operations, not just in demos.
Who we serve
Public sector and regulated organisations where reliability, governance, and trust matter. We understand the constraints and expectations of environments where decisions have consequences.
Sustainable engineering
We treat sustainability as a practical engineering discipline. Lean architectures, right-sized infrastructure, and data minimisation reduce waste and cost. We favour doing less, doing it efficiently, and avoiding repeated rework.
Human-first delivery
Trust and adoption are primary success criteria. We design for real-world constraints, build capability transfer into delivery, and ensure local teams can operate solutions without specialist dependency.
Responsible AI and data use
We use AI only where it supports defined outcomes with legitimate, proportionate data use. Decision-making remains accountable through documentation, traceability, and human oversight where necessary to protect users.
Global stewardship
We deliver solutions that remain sustainable after the initial project. Reduced lock-in, proven building blocks, and well-documented deployments ensure reliability and maintainability aligned to public value over time.
Let's work together
If you're considering AI, data, or cloud modernisation, we can help you clarify what is feasible, what is safe, and what will create measurable value.
Get in touch